SAP Health and Policy
SAP Health and Policy

Evidence of the usefulness of clinical simulation in building the professional competencies of medical students

Darcy Walter Palacios Baldoceda1
1Universidad Abierta Interamericana, Facultad de Medicina y Ciencias de la Salud, Carrera de Medicina. Buenos Aires, Argentina.

https://doi.org/10.56294/shp2025213

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Abstract

Clinical simulation is a key tool for balancing the development of medical skills and patient safety. Following reports from the institute of medicine highlighting the need to prevent medical errors In the United States, an initiative that extended to global healthcare, simulation was implemented as a tool in medical training to bridge the theory - practice gap. The UAI reaffirmed this commitment to clinical simulation training, despite challenges in its implementation, to strengthen education and ensure the competence of future healthcare professionals. The aim of this study is to obtain feedback from UAI students who have received clinical simulation classes.

Keywords

Continuing Medical Education, Undergraduate Medicine, Simulation, Translational Study, Formative Assessment

INTRODUCTION

Background of clinical simulation

In 1999, the Institute of Medicine (IOM) published its first report entitled “To Err is Human: Building a Safer Health System,” concluding that billions of Americans die each year from medical errors associated with care, hundreds of thousands suffer or barely escape with non-fatal injuries, which could be prevented in a high-quality health system.(1,2,3,4)

Since that 1999 report explicitly promoted the prevention of medical errors through a high-quality healthcare system, the 2001 IOM report, “Crossing the Quality Chasm: A New Health System for the 21st Century,” established six goals for a high-quality healthcare system. To be met, these goals had to promote a change in medical education based on low-, medium-, and high-fidelity clinical simulation to alert future physicians early on to errors during the acquisition of the skills necessary for medical practice that meets these established goals.(1,3,5,6)

Clinical simulation, feedback, ethics, and patient-centered care

Medical simulation addresses the need to balance skill development with patient safety, mitigating ethical tension by promoting learning without unnecessary risk to the patient.(2,4,7) The integration of simulation into medical education has been highlighted as an effective strategy for closing the gap between theory and clinical practice, demonstrating improvements in students' knowledge, skills, and performance, and even a change in patient perception.(8,9,10)

Although challenges remain, such as curriculum integration and documentation of effectiveness, research has demonstrated the benefits of simulation in teaching key medical competencies.(7,11,12) Effective analyses reveal the importance of simulation technology and its ability to improve teaching and competency assessment.(8,13) In addition, studies have demonstrated the effectiveness of simulation in teaching basic science, clinical knowledge, and procedural skills, as well as its usefulness in evaluating learners.(14,15,16)

The formative assessment approach offers a valuable tool for fostering reflection and deep learning in simulation contexts and indirect patient interactions.(16,17) Despite the challenges, the drive toward patient safety and the expansion of simulation in medical education reinforces the ethical commitment to prioritizing patient well-being.(18,19) Evidence-based medical simulation represents a vital tool for strengthening medical education and ensuring the competence and safety of future health professionals.(12,20) The study is motivated to identify possible areas for improvement in the learning of medical skills in clinical simulation within the UAI, enhancing it through the acquisition of feedback from students trained at the institution.

METHODS

This is a descriptive cross-sectional study. We selected UAI students who had completed the rotating internship by March 24, 2024, and used the following inclusion and exclusion criteria.

Inclusion criteria

Final-year medical students at the UAI.

Participants have experienced at least one clinical simulation session during their training.

Informed consent to participate in the study.

Ability to complete questionnaires and participate in interviews.

Volunteers who have not been previously exposed to similar research on clinical simulation.

Exclusion Criteria

Students from other academic years who are not in their final year of medicine at the UAI.

Participants who have not experienced any clinical simulation sessions.

Inability to provide informed consent.

Participants with mental health issues that may affect their ability to participate.

Those who have participated in similar research on clinical simulation in the past year.

The study environment will be exclusively university-based, and we will collect data through surveys. The surveys were developed according to the 12 sections outlined by McGaghie in 2010: A critical review of simulation-based medical education research.(7) The survey questions have five predetermined answers from A to E. Depending on the question, these answers are evaluated from excellent to very poor.

RESULTS

The total survey sample is 57 students who have participated at least once in the UAI simulators. The gender distribution is 33 % male and 67 % female, as shown in figure 1. Fifty-seven percent of respondents had previous experience in a health center outside the UAI, compared to 47 % who had not yet gained any experience in a hospital or health center outside the UAI's activities. We ensured that 100 % of students had participated in the simulator at least once.

Figure 1. Gender distribution.

McGaghie's 12 sections

All responses are shown in figure 2.

Question 1: 49 % of respondents believe the experience was positive and the helpful feedback, but it could have been more detailed.

Question 2: 53 % of respondents think that the practice was adequate.

Question 3: 51 % think there is a need to improve curriculum integration.

Question 4: 51 % think there is a need to improve how results are measured.

Question 5: 54 % think that the simulations are adequate and realistic.

Question 6: 75 % think simulation is effective for acquiring and maintaining skills.

Question 7: 61 % think they need more time to master the skills.

Question 8: 63 % think transferring their skills to clinical practice is acceptable but could be improved.

Question 9: 47 % think that team training was ineffective and uncollaborative.

Question 10: 79 % think that the assessments accurately represent their skills.

Question 11: 67 % think instructor training is acceptable but could be improved.

Question 12: 60 % think the educational context is adequate but could be improved.

Figure 2. Survey responses.

DISCUSSION

Strengths identified in clinical simulation applied at the UAI

A large majority (75 %) of participants perceive simulation as effective for acquiring and maintaining clinical skills, supporting its implementation as a teaching strategy.(3,21) A considerable percentage (54 %) consider the simulation scenarios appropriate and realistic, suggesting a satisfactory approximation to the authentic clinical environment.(19) The evaluations reflect the participants' skills, as 79 % of the results indicated.

Areas for improvement

There is a perceived need to optimize the integration of simulation activities into the curriculum, as 51 % of participants indicated. A significant percentage (51 %) believe that the methods for evaluating and measuring the results obtained in the simulation should be improved. Sixty-one percent of respondents say they need more exposure time to achieve adequate mastery of the skills, which could involve revising the duration or intensity of the simulation sessions. Although the transfer of skills to actual clinical practice is rated as acceptable by 63 %, there is room for improvement in this area. Team training and collaboration during simulated scenarios were perceived as ineffective by 47 % of participants, representing a priority area for improvement.(22,23) Instructor training and the overall educational context were rated as acceptable but improvable by 67 % and 60 % of respondents, respectively.(24,25)

CONCLUSIONS

The findings suggest that although clinical simulation is valued as practical and realistic, there are opportunities for improvement in areas such as curriculum integration, assessment methods, exposure time, skill transfer to real clinical practice, teamwork training, and instructor training. Addressing these areas further enhances the benefits of simulation in training healthcare professionals.

References

  1. 1 Stefl M. To Err is Human: Building a Safer Health System in 1999. Front Health Serv Manag. 2001 Feb;18:1–2.
  2. 2 Simulación en Educación Médica [Internet]. [citado 2024 jun 3]. Disponible en: https://www.elsevier.es/es-revista-investigacion-educacion-medica-343-pdf-S2007505714727334
  3. 3 Ziv A, Ben-David S, Ziv M. Simulation based medical education: an opportunity to learn from errors. Med Teach. 2005 May;27(3):193–9.
  4. 4 Gutiérrez LH, Núñez AVB, Cárdenas CD, Cortés HEO, Gabriela A, Sánchez O, et al. La seguridad del paciente y la simulación clínica.
  5. 5 Institute of Medicine (US) Committee on Quality of Health Care in America. Crossing the Quality Chasm: A New Health System for the 21st Century [Internet]. Washington (DC): National Academies Press (US); 2001 [citado 2024 jun 3]. Disponible en: http://www.ncbi.nlm.nih.gov/books/NBK222274/
  6. 6 Ziv A, Wolpe PR, Small SD, Glick S. Simulation-Based Medical Education: An Ethical Imperative. Simul Healthc. 2006;1(4):252–6.
  7. 7 McGaghie WC, Issenberg SB, Petrusa ER, Scalese RJ. A critical review of simulation-based medical education research: 2003–2009. Med Educ. 2010 Jan;44(1):50–63.
  8. 8 Rudolph JW, Simon R, Raemer DB, Eppich WJ. Debriefing as Formative Assessment: Closing Performance Gaps in Medical Education. Acad Emerg Med. 2008 Nov;15(11):1010–6.
  9. 9 Fitch MT. Using high-fidelity emergency simulation with large groups of preclinical medical students in a basic science course. Med Teach. 2007 Mar;29(2–3):261–3.
  10. 10 Graber MA, Wyatt C, Kasparek L, Xu Y. Does simulator training for medical students change patient opinions and attitudes toward medical student procedures in the emergency department? Acad Emerg Med. 2005 Jul;12(7):635–9.
  11. 11 Waring MJ, Arrowsmith J, Leach AR, Leeson PD, Mandrell S, Owen RM, et al. An analysis of the attrition of drug candidates from four major pharmaceutical companies. Nat Rev Drug Discov. 2015 Jul;14(7):475–86.
  12. 12 Cook DA, Hamstra SJ, Brydges R, Zendejas B, Szostek JH, Wang AT, et al. Comparative effectiveness of instructional design features in simulation-based education: Systematic review and meta-analysis. Med Teach. 2013 Jan;35(1):e867–98.
  13. 13 McGaghie WC, Draycott TJ, Dunn WF, Lopez CM, Stefanidis D. Evaluating the Impact of Simulation on Translational Patient Outcomes. Simul Healthc. 2011 Aug;6(7):S42–7.
  14. 14 Issenberg SB, McGaghie WC, Petrusa ER, Gordon DL, Scalese RJ. Features and uses of high-fidelity medical simulations that lead to effective learning: a BEME systematic review. Med Teach. 2005 Jan;27(1):10–28.
  15. 15 Rosen MA, Hunt EA, Pronovost PJ, Federowicz MA, Weaver SJ. In Situ Simulation in Continuing Education for the Health Care Professions: A Systematic Review. J Contin Educ Health Prof. 2012;32(4):243–54.
  16. 16 McGaghie WC, Issenberg SB, Petrusa ER, Scalese RJ. Revisiting ‘A critical review of simulation-based medical education research: 2003-2009’. Med Educ. 2016 Oct;50(10):986–91. Okuda Y, Bryson EO, DeMaria S, Jacobson L, Quinones J, Shen B, et al. The Utility of Simulation in Medical Education: What Is the Evidence? Mt Sinai J Med. 2009 Aug;76(4):330–43.
  17. 17 Norman G, Dore K, Grierson L. The minimal relationship between simulation fidelity and transfer of learning. Med Educ. 2012 Jul;46(7):636–47.
  18. 18 Kneebone RL, Scott W, Darzi A, Horrocks M. Simulation and clinical practice: strengthening the relationship. Med Educ. 2004 Oct;38(10):1095–102.
  19. 19 Roizen MF. Technology-enhanced simulation for health professions education: a systematic review and meta-analysis. Yearb Anesthesiol Pain Manag. 2012 Jan;2012:414–5.
  20. 20 Riancho J, Maestre JM, del Moral I, Riancho JA. Simulación clínica de alto realismo: una experiencia en el pregrado. Educ Med. 2012 Jun;15(2):109–15.
  21. 21 Hunt EA, Shilkofski NA, Stavroudis TA, Nelson KL. Simulation: Translation to Improved Team Performance. Anesthesiol Clin. 2007 Jun 1;25(2):301–19.
  22. 22 Allan CK, Thiagarajan RR, Beke D, Imprescia A, Kappus LJ, Garden A, et al. Simulation-based training delivered directly to the pediatric cardiac intensive care unit engenders preparedness, comfort, and decreased anxiety among multidisciplinary resuscitation teams. J Thorac Cardiovasc Surg. 2010 Sep;140(3):646–52.
  23. 23 Britt RC, Reed SF, Britt LD. Central Line Simulation: A New Training Algorithm. Am Surg. 2007 Jul 1;73(7):680–2.
  24. 24 Grudziak J, Herndon B, Dancel RD, Arora H, Tignanelli CJ, Phillips MR, et al. Standardized, Interdepartmental, Simulation-Based Central Line Insertion Course Closes an Educational Gap and Improves Intern Comfort with the Procedure. Am Surg. 2017 Jun 1;83(6):536–40.

Declarations

Funding

The authors did not receive funding for the development of this research.

Conflict of interest

The authors declare that there is no conflict of interest.

Authorship contributions

Conceptualization: Darcy Walter Palacios Baldoceda.

Writing – original draft: Darcy Walter Palacios Baldoceda.

Writing – review and editing: Darcy Walter Palacios Baldoceda.

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